83 applicants

Company

Lattice · 16 hours ago

Staff AI Engineer

Columbus, OH

Full-time

Remote

Senior Level, Lead/Staff

$188K/yr - $234K/yr

8+ years exp

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Responsibilities

You will design and build end-to-end architectures for AI/ML solutions, including data pipelines, model development, and production deployment.

You will develop, fine-tune, and optimize LLM-based solutions for Lattice's talent platform and product suite.

You will drive architectural decisions, balancing trade-offs between scalability, latency, accuracy, and cost.

You will implement AIOps practices, including CI/CD pipelines, feature flagging, model monitoring, and performance optimization.

You will work at a strategic level to influence technical decisions by collaborating cross-functionally with product managers, data scientists, and engineers to deliver AI-driven features aligned with business goals.

You will mentor and guide engineers of various experiences in AI engineering, establishing best practices for software and AI development, standardizing and evangelizing AI engineering in our team.

You'll lead technical evaluation of AI/ML vendors and platforms, making strategic recommendations on build vs. buy decisions for our AI infrastructure, from LLM providers to security and monitoring solutions.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

AI/ML systemsLarge Language Models (LLMs)PythonMLOpsAWS ecosystemPyTorchTensorFlowHugging Face TransformersLangChainDockerKubernetesTerraformCDKMLflowDataDogRetrieval-Augmented Generation (RAG)RLHFLoRACloud platformsTypeScriptJavaScriptRaySparkDistributed training systemsHybrid ML solutionsCollaboration skills

Required

8+ years of professional experience writing and maintaining production-level applications, with at least 4 years in designing and implementing scalable AI/ML systems in production.

Deep expertise in AI/ML concepts, including LLMs, model fine-tuning, and traditional ML techniques (supervised/unsupervised systems or neural networks).

Experience with advanced LLM techniques: Retrieval-Augmented Generation (RAG), RLHF, or LoRA.

Strong programming skills in Python, with hands-on experience in frameworks like PyTorch, TensorFlow, Hugging Face Transformers, or LangChain.

Expertise in MLOps: deployment (Docker, Kubernetes, Terraform and/or CDK), model monitoring (MLflow, DataDog, etc), and CI/CD workflows.

Proficient in the AWS ecosystem (Lambdas, SQS, SNS, etc) and data engineering tools for large-scale datasets.

Excellent problem-solving, system design, and technology decision-making skills.

Strong communication and collaboration skills to lead projects and mentor junior team members, and to also collaborate with product and executives.

Preferred

Experience with agentic AI or building multi-agent systems.

Experience with cloud-based ML services (e.g., AWS SageMaker, Google Cloud AI, Azure Machine Learning).

Experience with TypeScript / Javascript as it is our current programming language (Our current stack includes NodeJS, GraphQL, and PostgreSQL. We rely on AWS to host our infrastructure).

Professional experience in at least two cloud platforms (AWS, GCP, Azure).

Knowledge of optimization and scaling tools like Ray, Spark, or distributed training systems.

Familiarity with hybrid solutions combining traditional ML and LLMs.

Track record of publishing or presenting on artificial intelligence and machine learning topics in professional forums.

Benefits

Medical insurance

Dental insurance

Vision insurance

Life, AD&D, and Disability Insurance

Emergency Weather Support

Wellness Apps

Paid Parental Leave

Paid Time off inclusive of holidays and sick time

Commuter & Parking Accounts

Lunches in the Office

Workplace Amenities Stipend

Internet and Phone Stipend

One time WFH Office Set-Up Stipend

401(k) retirement plan

Financial Planning

Learning & Development Budget

Sabbatical Program

Invest in Your People Fund

Company

Lattice

Glassdoor

3.3

Lattice is a people success platform that help business leaders develop engaged, high-performing employees, and winning cultures.

Founded in 2015

San Francisco, California, USA

501-1000 employees

http://www.lattice.com

H1B Sponsorship

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2023 (1)

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2021 (3)

2020 (5)